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Subjects

Artificial Intelligence

preprocessing

In Class 9 Artificial Intelligence, the topic “Preprocessing” introduces students to the important Data Literacy steps used to make raw data reliable and ready for analysis. Students learn how to identify and handle missing values, remove duplicate or inconsistent entries, correct errors, organize data into suitable formats, and represent information clearly. They also explore why clean, well-structured data improves the accuracy and fairness of observations, patterns, and AI-based decisions.

Medium · Level 1 · 1 questions

TOPIC PRACTICE

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  1. It identifies and corrects or removes inaccurate, duplicate, incomplete, or irrelevant data, improving data quality.
  2. It always reduces the amount of data needed for training to zero.
  3. It teaches a model to make correct predictions without data.
  4. It increases the physical weight of computer hardware.

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